Comparison of Linear and Nonlinear Regression for Modeling the First-Order Degradation of Pest-Control Substances in Soil
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- 作者：Rod A. Herman and Peter N. Scherer
- 刊名：Journal of Agricultural and Food Chemistry
- 出版年：2003
- 出版时间：July 30, 2003
- 年：2003
- 卷：51
- 期：16
- 页码：4722 - 4726
- 全文大小：129K
- 年卷期：v.51,no.16(July 30, 2003)
- ISSN：1520-5118
文摘
First-order kinetic models are often used to profile the degradation of pest-control compounds in soil.This approach is based on enzyme theory and is often favored due to its simplicity and its requirementby regulatory agencies. Here, linear and nonlinear regression approaches to modeling first-orderdecay are compared. Composite residual plots of many soil degradation data sets are presented ona normalized scale. These plots illustrate the general error structure for the data and are useful fordetecting common mis-specifications of the models. Results indicate that a nonlinear regressionapproach to modeling first-order decay of compounds in soil more accurately describes most datasets when compared with a linear approach. Specifically, the observed error structure does not supportthe broad use of a logarithmic transformation to stabilize the variance. In addition, models generatedusing the linear approach generally exhibit more dramatic systematic deviations from the observationsas compared with models generated using the nonlinear approach. The analysis methods describedhere may be useful for comparing alternative models in this and other research areas.Keywords: Soil degradation; first-order kinetics; modeling; residuals